Literature DB >> 34512543

Prevalence of Gestational Diabetes Mellitus in the Middle East and North Africa, 2000-2019: A Systematic Review, Meta-Analysis, and Meta-Regression.

Rami H Al-Rifai1, Noor Motea Abdo1, Marília Silva Paulo1, Sumanta Saha2, Luai A Ahmed1.   

Abstract

Women in the Middle East and North Africa (MENA) region are burdened with several risk factors related to gestational diabetes mellitus (GDM) including overweight and high parity. We systematically reviewed the literature and quantified the weighted prevalence of GDM in MENA at the regional, subregional, and national levels. Studies published from 2000 to 2019 reporting the prevalence of GDM in the MENA region were retrieved and were assessed for their eligibility. Overall and subgroup pooled prevalence of GDM was quantified by random-effects meta-analysis. Sources of heterogeneity were investigated by meta-regression. The risk of bias (RoB) was assessed by the National Heart, Lung, and Blood Institute's tool. One hundred and two research articles with 279,202 tested pregnant women for GDM from 16 MENA countries were included. Most of the research reports sourced from Iran (36.3%) and Saudi Arabia (21.6%), with an overall low RoB. In the 16 countries, the pooled prevalence of GDM was 13.0% (95% confidence interval [CI], 11.5-14.6%, I2 , 99.3%). Nationally, GDM was highest in Qatar (20.7%, 95% CI, 15.2-26.7% I2 , 99.0%), whereas subregionally, GDM was highest in Gulf Cooperation Council (GCC) countries (14.7%, 95% CI, 13.0-16.5%, I2 , 99.0%). The prevalence of GDM was high in pregnant women aged ≥30 years (21.9%, 95% CI, 18.5-25.5%, I2 , 97.1%), in their third trimester (20.0%, 95% CI, 13.1-27.9%, I2 , 98.8%), and who were obese (17.2%, 95% CI, 12.8-22.0%, I2 , 93.8%). The prevalence of GDM was 10.6% (95% CI, 8.1-13.4%, I2 , 98.9%) in studies conducted before 2009, whereas it was 14.0% (95% CI, 12.1-16.0%, I2 , 99.3%) in studies conducted in or after 2010. Pregnant women in the MENA region are burdened with a substantial prevalence of GDM, particularly in GCC and North African countries. Findings have implications for maternal health in the MENA region and call for advocacy to unify GDM diagnostic criteria. Systematic Review Registration: PROSPERO CRD42018100629.
Copyright © 2021 Al-Rifai, Abdo, Paulo, Saha and Ahmed.

Entities:  

Keywords:  MENA region; gestational diabetes mellitus; meta-analysis; prevalence; systematic review

Mesh:

Year:  2021        PMID: 34512543      PMCID: PMC8427302          DOI: 10.3389/fendo.2021.668447

Source DB:  PubMed          Journal:  Front Endocrinol (Lausanne)        ISSN: 1664-2392            Impact factor:   5.555


Introduction

Gestational diabetes mellitus (GDM) (1) is usually diagnosed during the second and third trimesters of pregnancy (2). Risk factors of GDM include excessive body weight, low level of physical activity, consanguineous marriage, previous history of GDM, glycated hemoglobin >5.7%, and history of cardiovascular disease (3). As the toll of overweight and obese reproductive-age females soars, the risk of developing hyperglycemia in pregnancy increases (4). GDM has a global public health burden (5) with both short- and long-term consequences on health. The short-term ramifications of GDM include adverse perinatal outcomes for the affected women (e.g., preeclampsia, polyhydramnios, and increased cesarean section [“C-section”] risk) and their neonates (e.g., macrosomia and shoulder dystocia) (1, 6), whereas the long-term complications of GDM incorporate the risk of type 2 diabetes mellitus (T2DM) for the mother and the risk of childhood obesity, impaired glucose tolerance, and/or metabolic syndrome for their neonates (6). Since increased blood glucose levels are associated with certain perinatal complications, gestational blood glucose control is vital (7). Understanding population-specific healthcare needs at specific points of time is essential, and prevalence estimates are ideal for such purposes (8). Unfortunately, the global GDM prevalence estimates (<1%–28%) show a wide variation due to ethnicity, ethnic variation among various populations, and inconsistent use of screening and diagnostic criteria (4, 9). To precisely estimate the burden of GDM of a particular geographic area, it is essential to determine the region-specific prevalence estimate. There is scant literature on the prevalence of GDM in the Middle East and North Africa (MENA) region, although two of the main risk factors [physical inactivity and above-normal body mass index (BMI)] are identified as being highly prevalent in this region (10). Moreover, three of the world’s top ten most prevalent countries for diabetes mellitus belong to this region: Saudi Arabia (24%), Kuwait (23%), and Qatar (23%) (11). For the entire Eastern Mediterranean region, the existing prevalence estimate of GDM is 14.5%, although this includes only cases diagnosed according to the World Health Organization (WHO) 1999 criteria (4). One previous survey showed that physicians and hospitals in this region use different criteria to diagnose GDM (12). A systematic review and meta-analysis of prevalence studies is considered to be an ideal method to understand the burden of GDM at regional and national levels. In this systematic review, meta-analysis, and meta-regression, we estimated the weighted pooled prevalence of GDM in the MENA region, at the regional, subregional, and national levels, based on literature published between January 2000 and December 2019.

Methods

This review follows the Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) 2009 guidelines (13). The PRISMA checklist is provided elsewhere (). Following our published protocol, we report here “systematic review 2” (14). We implemented minor amendments whenever needed, including an updated database search.

Data Source and Searches

To identify eligible studies reporting the prevalence of GDM in the MENA countries, we conducted a comprehensive search of five electronic databases (MEDLINE, EMBASE, Web of Science, SCOPUS, and Cochrane library) from January 1, 2000, to December 31, 2019, using variant Medical Subject Headings and free-text terms. Restricting the literature search to 2000 was to estimate changes in the GDM prevalence over the past two decades (before and after 2010), at national, sub-regional, and regional levels, whenever enough data is available for the meta-analysis. The literature search strategy was developed in consultation with an expert librarian at the National Medical Library at the United Arab Emirates University. The full search strategy available in the published protocol (14). Retrieved references were imported to the Covidence software (Covidence, Melbourne, Australia) (15). Deduplication of similar references was performed automatically by the Covidence software.

Study Selection

To identify and select studies for inclusion, we followed the PECO(T) framework: participants, exposure, comparator, outcome(s), and type of study (16). However, we considered only participants and outcomes because the focus of this review was on studies reporting the prevalence of GDM. Study eligibility criteria are presented in .
Table 1

Study eligibility criteria.

CriteriaInclusionExclusion
PopulationPregnant women regardless of their age, parity, or any maternal or sociodemographic characteristicsNon-pregnant women
OutcomeStudies reported quantitative or calculable GDM prevalence estimate(s) regardless of the GDM diagnostic criteria/guidelines or pregnancy trimesterStudies on pregnant women with no information related to GDM prevalence
Sample sizeStudies with at least ten pregnant women tested for GDMStudies with less than ten pregnant women tested for GDM
Study designCross-sectional, cohort studies, case–control studies comparing no-GDM with no-GDM subpopulations, and trials with nonpharmaceutical interventionsCase–control studies comparing GDM with no-GDM populations, qualitative studies, modeling studies, case reports and case series regardless of the number of cases, narrative and systematic reviews, conference abstracts with no full information, editorials, commentaries, letters to the editor, author replies, and other publications that did not include quantitative data on the prevalence of GDM
Geographical regionAny of the 18 Arab countries (Algeria, Bahrain, Djibouti, Egypt, Iraq, Jordan, Kuwait, Lebanon, Libya, Morocco, Oman, Qatar, Saudi Arabia, Syria, Tunisia, United Arab Emirates, West Bank and Gaza, and Yemen) in addition to Iran and Malta in the MENA region, according to the definition of the World Bank Country and Lending Groups (17).All other countries
Publication periodJanuary 2000 to December 2019Studies conducted before January 2000 or after December 2019 and studies for which the time period of the GDM tests in pregnant women was unclear
LanguageEnglish languageNon-English studies
SettingNo limitations. Hospital based, population based, or clinic based.No limitations
Duplicate studiesStudies duplicating or potentially duplicating GDM ascertainment in the same population. In the case of duplicate publications, we included only the study containing the most relevant information in the context of the prevalence of GDM
Study eligibility criteria.

Identifying Eligible Studies

Titles and abstracts were screened by RHA, NMA, and MSP to detect eligible research reports on the prevalence of GDM. For studies that appeared eligible, the full text was reviewed (RHA, NMA, and MSP). Screening of all titles and abstracts and full text articles was performed independently by two reviewers. Disagreements among reviewers were resolved by discourse. We also searched the reference lists of eligible studies for studies that might have been missed. shows the PRISMA flowchart of study selection.
Figure 1

PRISMA flowchart of study selection.

PRISMA flowchart of study selection. In this review, the term “research report” is used to refer to a full published research document. The term “study” is used to refer to a single study on a specific population group. One big observational study (one research report) provides GDM data stratified into four age groups (four studies). Hence, one research report could contribute several studies on GDM prevalence.

Data Extraction and Quality Assessment

Relevant data from eligible studies were extracted into a predesigned Excel sheet using a predefined list of numerical and string variables. The outcome of interest was the weighted prevalence of GDM in pregnant women in the MENA countries, according to various characteristics including, but not limited to, age, BMI, trimester, and time period. We extracted author names, publication year, country, city, and study setting. In addition, data on the implemented methodology (design, data collection period, sampling strategy, and GDM diagnosis and ascertainment methodology) and characteristics of the studied pregnant women (age, pregnancy trimester, sample size, number of women with GDM and GDM prevalence) were extracted whenever available. In addition to the overall prevalence of GDM, some research reports also reported the prevalence of GDM stratified according to different characteristics, such as age, parity, comorbidity, pregnancy trimester, and BMI. In such reports, data extraction was performed for the stratified GDM prevalence, following the rule that the study had to have at least ten tested subjects per strata; otherwise, information on the entire tested sample was extracted. A predefined sequential order was established when extracting stratified GDM prevalence estimates as follows: GDM stratified first according to comorbidities followed by parity, age, and BMI. This prioritization was used to identify the strata with more information on the tested pregnant women. When there was no stratification for the prevalence of GDM, we extracted the overall GDM prevalence measured. For each research report reporting the stratified prevalence of GDM according to more than one category (i.e., age and BMI), one category per research report was considered and included based on the aforementioned prioritization scheme, to avoid double counting. In studies in which GDM was ascertained using different guidelines, the most sensitive and reliable ascertainment assay was considered (i.e., prioritizing fasting blood glucose over self-reported) or was based on the most recent and updated criteria (i.e., prioritizing WHO 2010 over 2006 criteria). The risk of bias (RoB) assessment was performed at the level of the research report rather than the study. The quality of each research report was evaluated according to criteria of the National Heart, Lung, and Blood Institute (18). Six of 14 items from the quality assessment tool for prevalence studies were used (18). The six quality-related items assessed the research question/objectives, studied population, sample size justification, and outcome measures and assessment. Eight items were not used because they are applicable only to follow-up cohort studies. For additional quality assessment, we also assessed the robustness of the implemented methodology using three additional quality-of-evidence criteria: sampling methodology, GDM ascertainment methodology, and precision of the estimate. Studies were considered to have “high” precision if at least 100 women were tested for GDM. We computed the overall proportion of research reports with potentially low RoB across each of these nine quality criteria and also computed the proportion (out of nine) of quality items with a potentially low RoB for each of the included research reports. Data abstraction and quality assessment were performed independently by two reviewers (NA and MP) and cross-checked for disagreements. Any discrepancies in the extraction phase or in the quality assessment between the reviewers were discussed and resolved with a consultation of a senior reviewer (RA-R).

Data Synthesis and Analysis

To estimate the weighted pooled prevalence of GDM and the corresponding 95% confidence interval (CI), we performed meta-analyses of the extracted data. The Freeman–Tukey double arcsine transformation method was applied to stabilize the variances of the prevalence measures (19). The inverse variance method was used to weight the estimated pooled prevalence measures (20). Dersimonian–Laird random-effects model was used to estimate the overall pooled GDM prevalence (21). Cochran’s Q statistic and the inconsistency index, I 2, were calculated to measure heterogeneity (22). Along with the pooled estimates, ranges and median were also reported to describe the dispersion of the GDM prevalence measures reported in the literature. The prediction interval, which estimates the 95% interval in which the true effect size in a new prevalence study will lie, was also quantified and reported (22). For the subgroup meta-analysis, country-level pooled estimates were generated overall and based on time period. In addition, to estimate the change in GDM both at the country level and overall, the data collection period was stratified into two time periods: 2000–2009 and 2010–2019. For studies in which the data collection period overlapped, the collection period was defined as “overlap” so as not to miss any important data when estimating country-level, subregional, and regional prevalence. The median (~2 years) was used in studies with an unclear data collection period. In these studies, the median was subtracted from the year of publication to estimate the year of data collection. The weighted pooled prevalence, regardless of country, was also estimated according to the age of the pregnant women, trimester, BMI, study period, GDM ascertainment guidelines, and sample size (<100 or ≥100). The provision of pooled estimates regardless of the ascertainment guidelines was justified by the fact that the women were defined and treated as GDM patients following each specific ascertainment guideline. Accumulated evidence has shown that GDM is associated with an increased risk of C-section (23, 24) and maternal mortality (4). Independent of the research report and the characteristics of the tested pregnant women for GDM, we estimated the pooled GDM prevalence according to the C-section rate and maternal mortality ratio (MMR). Information on the C-section rate (25, 26) and MMR were retrieved from various resources (27). Depending on data availability, information on C-section rate and MMR was extracted in the same or the closest year to the estimated GDM prevalence. For every GDM study, the rate of C-section was then categorized as <15%, 15–29%, >30%, or unclear, whereas the MMR was categorized as either ≤100/100,000 live births, >100/100,000 live births, or unclear. To provide prevalence estimates at a subregional level, we regrouped MENA countries into four subregions, namely, North Africa, Gulf Cooperation Council (GCC) countries, Levant, and Iran/Iraq region. We estimated the overall pooled prevalence in these subregions and according to patient age, trimester, BMI, study period, GDM ascertainment guidelines, rate of C-section, and MMR. Random-effects univariate and multivariable meta-regression models were implemented to identify sources of between-study heterogeneity and to quantify their contribution to variability in the prevalence of GDM. In univariate meta-regression models, analysis was performed by country, age, pregnancy trimester, BMI, and sample size. All variables with a p-value <0.1 in the univariate models were included in the multivariable model. In the final multivariable model, a p-value ≤0.05 was considered statistically significant, which contributed to the heterogeneity in prevalence estimates.

Publication Bias

A funnel plot was generated to explore the small-study effect on the pooled GDM prevalence estimates. The funnel plot was created by plotting each GDM prevalence measure against its standard error. The asymmetry of the funnel plot was tested using Egger’s test (28). All analyses were performed using the metaprop (29) and metareg packages in Stata/SE v15 (30). The study is registered with PROSPERO, number CRD42018100629.

Results

Database Search and Scope of the Review

Of the 13,139 citations retrieved from the 5 databases, 102 research reports were deemed eligible and included in this review (). The research reports were from 16 countries in the MENA region: Algeria (one), Bahrain (two), Egypt (four), Iraq (three), Iran (37), Jordan (four), Lebanon (two), Libya (one), Morocco (one), Oman (five), Qatar (six), Saudi Arabia (22), Sudan (two), Tunisia (one), United Arab Emirates (UAE) (eight), and Yemen (one). The prevalence data for both decades (time periods) were available from six countries (Bahrain, Iran, Oman, Qatar, Saudi Arabia, and the UAE); for the other countries, data were available for the time period 2010–2019 (). Self-reported GDM status was documented in five research reports (31, 73, 83, 90, 119). The predominantly used GDM diagnostic criteria in the MENA region were from the American Diabetes Association and the International Association of Diabetes and Pregnancy Study Group (ADA/IADPSG; 48.5% of studies).
Table 2

Summary of the included studies reporting the prevalence of GDM in pregnant women in the MENA region, 2000–2019, stratified by country (102 reports with 198 prevalence measures).

Author, year [Ref]Duration of data collectionCountry, citySettingDesignSamplingPopulationStrataAscertainment methodTested sampleGDM
Positive%
Tebbani F. et al. (31)12/2013–12/2015Algeria, ConstantineMaternities, antenatal and private gynecologistsPCUnclearAlgerian pregnant women aged 19–41 years who entered prenatal care before 16 weeks of amenorrheaAllFace-to-face interview20063.0
Rajab K. et al. (32)2002–2010BahrainGovernment central hospital that is responsible for approximately 80% of all births in BahrainCSWhole populationPregnant womenAll2002–2010NDDG 1979 guidelines49,5524,98210.1
Al Mahroos S. et al. (33)1/2001–12/2002BahrainANC clinics at health centers and at Salmaniya Medical ComplexCSAll women during the study periodNondiabetic pregnant womenAllFourth International Workshop-Conference on GDM10,4951,39413.7
Bahraini7,5751,17515.5
Expatriate2,9202197.5
Rakha S and El Marsafawy H (34)01/2011 – 01/2019Egypt, MansouraPediatric cardiology unit in Mansoura University Children’s HospitalCSWhole populationPregnant with at least one high risk indication of fetal echocardiographyAllUnclear4585712.5
Rezk M and Omar Z (35)05/2012–05/2017EgyptShibin El-KomPSWhole PopulationPregnant women with chronic HCV infectionAllUnclear3429026.3
Pregnant women with no HCV infection170105.9
Maged AM. et al. (36)01/2011–02/2013Egypt, CairoKasr El Aini HospitalPSUnclearPregnant women in their first trimester with a singleton living fetus, excluding women with preexisting type 1 or 2 diabetes mellitus, hypertension, liver disease, renal disease, or the presence of active infectionAllADA 20022692710.0
Elkholi DGEY and Nagy HM (37)3/2007–3/2013Egypt, TantaInfertility Clinic, Tanta University HospitalsCSUnclearObese pregnant women (BMI ≥30 kg/m2) with PCOS before treatment for infertility, attending 100 patients with android obesity and 100 patients with gynoid obesityAllFifth International Workshop Conference on Gestational Diabetes criteria131107.6
Outpatient Clinic of Department of ObstetricNon-PCOS pregnant women with android obesity were controls for group 1 and 100 non-PCOS pregnant women with gynoid obesity who were free of DM before pregnancy177147.9
Mohammed AK and Alqani VHA (38)06/2016–07/2017Iraq, Al-DiwaniyahChild and Maternity Teaching HospitalCSUnclearPregnant women with a mean age of 30.02 ± 6.37 yearsAllUnclear491224.5
Alawad ZM and Al-Omary HL (39)09/2018–12/2018Iraq, BaghdadBaghdad teaching hospitalPCUnclearWomen between 18 and 40 years of age, normal vaginal deliveries to live singletons with no congenital anomalies, women with normal thyroid function testAllUnclear35720.0
Safari K et al. (40)10/2017–01/2018Iraq, ErbilHawler Maternity Teaching HospitalCCUnclearSingleton Muslim pregnant women aged 18–35 years who fasted in Ramadan during the second trimesterAllUnclear15542.6
144128.2
Maghbooli Z et al. (41)2005Iran, TehranFive university hospital clinics of the Tehran University of Medical SciencesCSUnclearPregnant women with no previous history of DM and who sought prenatal care during the first half of their pregnanciesAllCarpenter and Coustan criteria741527.0
Abolfazl M et al. (42)2006Iran, ShirazShiraz HospitalUnclearRandomPregnant women with a mean age of 31.2 yearsAllUnclear4207016.6
Keshavarz M et al. (43)12/1999–01/2001Iran, ShahroodFatemiyeh HospitalPCConsecutiveAll pregnant women within the catchment area of the hospital were referred to this antenatal service; twin pregnancies, miscarriages, terminations, and women with preexisting diabetes were excluded from our studyAllCarpenter and Coustan criteria1,310634.8
Hadaegh F et al. (44)3/2002–3/2004Iran, Bandar AbbasObstetrics clinics in various parts of Bandar Abbas city in southern IranCSAll women during the study periodPregnant women with a mean age of 24.9 years in the 24th to the 28th week of pregnancy excluding women with history of diabetes, using drugs that affect glucose metabolism, with chronic liver disease, endocrine disorders (such as hyperthyroidism), or connective tissue disorders, and with major medical conditions, such as persistent hypertensionAllCarpenter and Coustan criteria700628.9
<20 years9322.2
20–24 years279155.4
25–29 years1842212.0
30–34 years1031312.6
35–≥45 years411024.3
Amooee S et al. (45)2006–2008Iran, SherazHafez and Zeinabieh Hospitals of Shiraz University of Medical SciencesCSUnclearAll singleton pregnancies with and without minor β-thalassemiaWith minor β-thalassemiaUnclear510163.5
Without minor β-thalassemia5122020.0
Lamyian M et al. (46)08/2010– 01/2011Iran, TehranPrenatal clinics in five hospitals affiliated with universities of medical sciences in different districtsPSRandomSingleton pregnant women age 18–45 years, excluding preexisting diabetes and smokersAllADA 20161,026716.9
Soheilykhah S et al. (47)2007–2009Iran, YazdTwo prenatal clinics in YazdPSUnclearIranian pregnant women with a mean age of 27 years, excluding those with prepregnancy DMAllADA 20047349513.0
<25 years247197.7
25–29 years2023014.9
≥30 years2854616.1
Pirjani R et al. (48)2012–2013Iran, TehranDr Shariati and Arash HospitalsPSConveniencePregnant women with a mean age of 28.70 ± 5.57 years (range 17–44 years) excluding women with a history of diabetes (type 1 or 2), tested for GDM at the 24th–28th weeks of pregnancyAllADA 20122567830.5
Soheilykhah S et al. (49)01/2010–02/2013Iran, YazdTwo prenatalclinics (Mojibian and Shahid Sadoughi HospitalsCSUnclearPregnant women tested for GDM at 24–28 weeks of pregnancy, excluding women with type 1 or 2 diabetes, malignancies, acute or chronic inflammatory or infective diseases, acute or chronic liver disease, and iron deficiency anemiaAllADA 20131,27928121.9
Shahbazian H et al. (50)08/2014–02/2015Iran, AhvazPrenatal clinic of a public medical hospital and four private prenatal clinicsPSUnclearPregnant women tested for GDM between 24 and 32 weeks of gestationAllIADPSG75022429.9
15–24 years1903216.8
25–34 years45214532.1
35–44 years1084743.5
Yassaee F et al. (51)10/2008–2/2010Iran, TehranTeaching hospital in the North of TehranPSUnclearPregnant women with idiopathic thrombocytopenic purpura at a mean age of 28.9 yearsUnclear21628.6
Ashrafi M et al. (52)2012–2013Iran, TehranReproductive biomedicine research center, Royan InstituteCSUnclearNon-PCOS pregnant women who conceived spontaneously with a mean age of 26.4 yearsAllFifth International Workshop on GDM234177.3
Non-PCOS pregnant women conceived with RT with a mean age of 30.7 yearsAll2347029.9
PCOS pregnant women with ART with a mean age of 29.6 yearsAll23410444.4
Goshtasebi A et al. (53)8/2010–1/2011Iran, TehranPrenatal clinics in five hospitals affiliated with universities of medical sciencesCSConsecutivePregnant women aged 18–45 years, singleton pregnancy, gestational age ≤6 weeks, gestations ≤2, and nonsmokersAllADA 20161,026716.9
Ashrafi M et al. (54)11/2011–10/2012Iran, TehranReproductive Biomedicine Research Centre of the Royan Institute,CSUnclearPregnant women who conceived after fresh IVF/ICSI or intrauterine insemination at a mean age of 31.3 years with no history of DM, family history of DM, GDMAllADA 20051455415.7
Akbarabadi Women’s Hospital, affiliated with Tehran University of Medical ScienceCSUnclearPregnant women with singleton spontaneous pregnancies at a mean age of 26.6 years and with no history of DM, family history of DM, or GDMAll2152225.1
Jamali S et al. (55)4/2012–10/2015Iran, JahromPaymaneh Hospital Jahrom, IranCSUnclearInclusion criterion was all women aged 15–45 years; incomplete and doubtful data were excluded; the study compared 154 women in the first group (teenage group), 400 women in the second group (control group), and 196 women in the third group (adult women)All15–45 yearsMedical Records
75016.22.1
15–19 years15410.6
20–34 years40071.8
35–45 years19684.1
Pourali L et al. (56)7/2009–7/2014Iran, MashadGhaem HospitalCSConvenienceWomen with dichorionic spontaneous twin pregnancy with a mean age of 27.1 yearsAllMedical records9688.3
Women with dichorionic pregnancy following ART with a mean age of 28.9 years31825.8
Mehrabian F and Rezae M (57)1/2009–3/2013Iran, IsfahanShahid Beheshti HospitalCSUnclearPregnant women who were infertile due to PCOS with an age range of 18–42 yearsAllADA 20111805027.8
Mehrabian F and Hosseini SM (58)2011–2012Iran, IsfahanIsfahan University of Medical SciencesCSConveniencePregnant women without preexisting diabetes, mean age 27.6 yearsAllUnclear944727.6
Hosseini E et al. (59)10/2015–01/2017Iran, Isfahan10 community health care centersCSConsecutiveWomen 18–45 years old with singleton pregnancyAllIADSPG two-step approach9299310.0
Hantoushzadeh S et al. (60)2/2012–3/2015Iran, TehranMaternal, Fetal and Neonatal Research Center, Vali-asr Teaching HospitalCSUnclearPregnant women aged 20–32 years with singleton pregnancies screened for GDM at 28 weeks. excluding women with a history of type 1 or type 2 diabetes mellitus, missing information about prepregnancy diabetes status or BMI, incomplete data on glucose tolerance testing or weight gain during pregnancyAllACOG1,2791007.8
Underweight2700.0
Normal weight751453.3
Overweight381359.2
Obese1202016.7
Niromanesh S et al. (61)2008–2010Iran, TehranTehran Women General HospitalCSConsecutiveNormal pregnant women 20–35 years of age with gestational age 16–20 weeks, gravid >2, BMI of 20–25 kg/m² were included in the study, excluding women with a history of PTB, preeclampsia, diabetes, GDM, primigravida, those with a BMI >25, and high maternal age (>35 years)High triglyceride level (>195 mg/dL)Unclear45920.0
Normal triglyceride level (<195 mg/dL)13585.9
Vaezi A et al. (62)2009–2012Iran, TehranAkbarabadi HospitalRCConvenientMedical records of pregnant women aged between 18 and 50 years admitted to the hospital to obtain prenatal careAllUnclear580569.6
With asthma2743713.5
Without asthma306196.2
Hossein–Nezhad A et al. (63)UnclearIran, TehranFive teaching hospitals affiliated with Tehran University of Medical SciencesCSConsecutivePregnant women referred to ANC visits with no known history with known diabetes were excluded from the studyAll15–45 yearsCarpenter and Coustan
2,4161144.7
15–24 years1,209272.2
25–34 years1,001565.6
35–45 years2063115.0
Nastaran SA et al. (64)10/2009–8/2010Iran, TehranMilad HospitalPSConveniencePregnant woman referred to the pregnancy care clinics with a single fetus, aged 18–35 years with a gestational age of 1–13 weeks, a parity of 3 or less, lack of known systemic diseases, and lack of gestational diabetes during previous pregnanciesAllCarpenter and Coustan600498.2
Talebian A et al. (65)2/2007–12/2012Iran, KashanShabihkhani, Shahid Beheshti and Milad hospitalsCSUnclearPregnant women with normal pregnancies and with neural tube defectsAllUnclear300217.3
Kouhkan A, et al. 2018 (66)11/2014–1/2017Iran, TehranRoyan Institute and maternity teaching hospital located in TehranPCWhole populationSingleton pregnant women aged 20–42 years, who conceived via ART or SCAllADA/IAPDSG57428750
Abedi P et al. (67)08/2013–10/2014Iran, AhfavFour centers from the east and three centers from the west of AhvazCSUnclearPregnant womenAllMedical records700436.1
Pezeshki B et al. (68)04/2015–04/2016Iran, ZanjanSeven health care centers affiliated with Zanjan University of Medical SciencesPCWhole populationPregnant women between the ages of 18 and 35 years, gestational age of equal or less than 12 weeks at first visit, a BMI of between 30 and 18.5 kg/m2, and a blood pressure of less than 140/90 mm Hg during first visit, tested for GDM in the first trimesterAllADA 2016356257.0
Heydarpour F et al. (69)2015–2017Iran, four cities were selected from each provinceOne rural and one urban health clinic were selected in each cityRCMultistagePregnant women with: a hemoglobin level less than 11 g/dL during the first trimesterAllMedical records1,038272.6
a hemoglobin level more than 11 g/dL during the first trimester2,4631064.3
a hemoglobin level less than 11 g/dL during the third trimester756283.8
a hemoglobin level more than 11 g/dL during the third trimester1,986683.4
Fazel N et al. (70)08/2014–04/2015Iran, SabzevarFrom 18 obstetric clinics associated with Mobini HospitalPCCluster random samplingPregnant women in gestational week 24 or lessAllMedical records1603301.87
Nouhjah S. et al. (71)03/2015–01/2016Iran, Ahvaz25 urban and public and private prenatal care clinicsPCUnclearPregnant womenAllIADPSG80017622.0
Maghbooli Z et al. (72)04/2016–03/2017Iran, TehranPrenatal care clinics in two regions in Tehran, IranCCUnclearPregnant women living in nonpolluted areasAllUnclear4436.8
Salehi-Pourmehr H et al. (73)12/2012–01/2016Iran, TabrizAll health centers in Tabriz (65 centers and subcenters)PCUnclearObese (BMI ≥ 35 kg/m2) pregnant women in the first trimester of pregnancy, aged 18–35 yearsAllSelf-reported62711.0
Zargar M et al. (74)2011–2016Iran, AhvazPregnant women referring to three infertility centers in Ahvaz cityCCRandomlyAll women undergoing ARTAllUnclear3183310.4
Mojtahedi SY et al. (75)04/2010–05/2016Iran, TehranZiaeean and Imam Khomeini hospitals in TehranCSRandomMothers of neonates (<15 days) with hyperbilirubinemia (> 15 mg/dL)AllMedical records1634125.2
Eslami E et al. (76)07/2016–04/2016/ 12/2017–02/2017Iran, Tehran12 health centers of TehranRCTsUnclearSingleton pregnant females with BMI greater than 25 aged 18 and older, gestational age of 16–20 weeksAllUnclear701724.3
Singleton pregnant females with BMI greater than 25, aged 18 and older, gestational age of 16–20 weeks receiving lifestyle trainingAll701521.4
Mardani M et al. (77)2015–2016IranHealth care centersCCWhole populationPregnant women with severe acute respiratory illnessAllMedical records24312.5
RandomlyLiving pregnant women with severe acute respiratory illnessAll10044.0
Basha S et al. (78)01/2015–01/2016JordanJordan University HospitalCSConsecutiveWomen with singleton pregnancies tested for GDM at 24–28 weeks of pregnancyAll15–49 yearsIADPSG6448713.5
15–29 years301248.0
30–39 years3025016.5
40–49 years411331.7
Abdel Razeq NM et al. (79)2012/2013JordanNationwide in 18 maternity hospitalsCSUnclearAll women who gave birth to dead or live neonates at 20 or more weeks of gestationAllMedical records21,0752531.2
Clouse K et al. (80)04/2015–05/2015Jordan, AmmanAl-Bashir HospitalCSUnclearPregnant womenAllMedical records and interviews20031.5
Khader YS et al. (81)03/2011–04/2012Jordan, nationwide18 hospitals with maternity departments in three regions of Jordan (South, Middle, and North)CSWhole populationDeliveries with a gestational age ≥20 weeksAllMedical records and interviews21,9282611.2
Zein S et al. (82)12/2012–11/2013Lebanon, BeirutBahman hospitalCSUnclearSingleton pregnancies, nonanemic, having first prenatal visit before 12 weeksAllIADPSG1041615.4
Ghaddar N et al. (83)09/2016–08/2017Lebanon, Beirut and South LebanonOutpatient clinic of obstetrics and gynecology department of different hospitals and peripheral clinics in LebanonCSConsecutivePregnant women, at 35–37 weeks of gestationAllSelf-reported or reported by physician10776.5
Khalil MM and Alzahra E (84)1/2009–12/2010Libya, TripoliAl-Jalaa Maternity HospitalCSConsecutivePregnant women with singleton pregnancies who completed 28 weeks of gestation excluding stillbirths, neonatal deaths, and infants with congenital anomaliesAllMedical records28,1404051.4
Utz B et al. (85)12/2016–03/2017Morocco, Marrakech-Safi10 health centers per district; two districts, Marrakech and Al HaouzCSWhole populationPregnant women attending ANC with GDM screening and management interventionAllWHO 201384615518.3
Pregnant women attending ANC with GDM screening and initial management103413813.4
Abdwani R et al. (86)01/2007–12/2013Oman, SeebSultan Qaboos University HospitalRSConsecutiveMothers with systemic lupus erythematosusAllMedical Records561526.8
Healthy mothers9199.9
Al-Hakmani FM et al. (87)3/2011–4/2012Oman, SeebAll primary health care centersPSConsecutivePregnant women without preexisting diabetes or chronic disease tested in their second trimesterAllWHO 199963810015.7
BMI: 18.5–24.9 kg/m2 2292711.8
BMI: 25–29.9 kg/m2 1973517.8
BMI: ≥30 kg/m2 2123817.9
Abu-Heija AT et al. (88)09/15/2013–09/14/2014Oman, MuscatSultan Qaboos University HospitalCSWhole populationHealthy singleton Omani nondiabetic pregnant women attending the antenatal clinic at SQUH were studiedAllUnclear306237.5
BMI: 18–20 kg/m2 3213.1
BMI: 21–25 Kg/m2 7434.1
BMI: 26–30 kg/m2 10287.8
BMI: 31–35 kg/m2 47510.6
BMI: >35 kg/m2 51611.8
Zutshi A et al. (89)11/2011–04/2012Oman, MuscatRoyal Hospital in MuscatRCWhole populationAll pregnant Omani women with available weight/height or BMI data at <12 gestational weeks (obese and normal weight)AllMedical records181322112.2
Normal weight912697.6
Obese90115216.9
Islam M et al. (90)2000–2000OmanNational Health household surveyCSMultistage sampling15–49-year-old pregnant womenAllSelf–reported1,345443.3
20–34 years1,030302.9
≥35 years315144.4
Al–Kuwari MG et al. (91)1/3–30/6/2010QatarSixteen primary health care centers that offer ANC care servicesCSUnclearAll pregnant women attending ANC clinics with a mean age of 28.3 yearsAllADA 20034,2952756.4
<24 years1,140272.4
25–29 years1,537895.8
30–34 years1,007707.0
≥35 years6118914.6
Bener A et al. (92)1/2010–4/2011QatarWomen’s Hospital in DohaCSWhole populationAll pregnant women who attended the ANC clinics, excluding women with diabetes before pregnancyAllUnclear1,60826216.3
BMI: <25 kg/m2 513356.8
BMI: 25–30 kg/m2 6017212.0
BMI: >30 kg/m2 49415531.4
Abu Yaacob S et al. (93)01/2001–06/2001Doha, QatarWomen’s HospitalCSRandomPostnatal women at the Women’s Hospital; multiple pregnancies were not includedAllMedical records1503523.3
BMI: >30 kg/m2 752634.7
BMI: 20–28 kg/m2 75912.0
Bashir M et al. (94)03/2015–12/2016Qatar, DohaWomen’s Hospital of Hamad Medical CorporationCSWhole populationPregnant womenAllMedical records, FBG at first trimester and OGTT at second trimester according to WHO2,22180136.1
Shaukat S and Nur U (95)06/01/2016–11/10/2017QatarPrimary Healthcare Corporation DatabaseRCWhole populationNulliparous women with singleton pregnancies who had their first antenatal visit at the Primary Healthcare CorporationAllMedical records1,13440735.9
BMI: <25 Kg/m2 40411829.2
BMI: 25–29.99 Kg/m2 39914035.1
BMI: ≥30 kg/m2 23010847.00
Missing1014140.6
Soliman A et al. (96)01/2017–08/2017Qatar, All QatarPerinatal registryCSWhole populationWomen with singleton births and completed record abstractionAllIADPSG12,255302724.7
≤19 years2563513.7
20–24 years2,07533216.0
25–29 years4,03590922.5
30–34 years3,64196426.7
≥35 years2,27578734.6
Kurdi AM et al. (97)07/01/2010–06/30/2013Saudi Arabia, RiyadhThe Prince Sultan Military Medical City (PSMMC) is a tertiary teaching institutionPCRandomHealthy pregnant womenAllIADPSG126218814.9
Whole populationPregnant women with congenital anomaliesAll117918715.9
El–Gilany AH and Hammad S (98)2007Saudi Arabia, Al–HassaPrimary health care centersPSUnclearPregnant women initiated into ANC in the first month of pregnancy, excluding any prepregnancy chronic medical disease (e.g., hypertension, diabetes, renal or cardiac disease, and sickle cell disease) and multiple pregnanciesAllUnclear787303.8
BMI: 18.5–24.99 kg/m2 30731.0
BMI: <18 kg/m2 6700.0
BMI: ≥25–29.99 kg/m2 18784.3
BMI: ≥30 kg/m2 226198.4
Lasheen AE et al. (99)1/2011–11/2011Saudi Arabia, RiyadhSecurity Forces HospitalCSUnclearPregnant womenAllUnclear60115325.5
Wahabi HA et al. (100)2013–2015Saudi Arabia, RiyadhThree hospitals, part of RAHMA studyCSRandomSaudi mothersAll<20–≥45 yearsWHO 2013
9,7233453.5
<20 years2163817.6
20–24 years1,62527116.7
25–29 years2,85059620.9
30–34 years2,60368826.4
35–39 years1,76953730.4
40–44 years60120834.6
≥45 years591627.1
Wahabi HA et al. (101)1/1/–31/12/2008Saudi Arabia, RiyadhKing Khalid University HospitalRSUnclearWomen who were admitted to the labor ward in King Khalid University HospitalAllIADPSG3,15756918.0
Wahabi HA et al. (102)1/1–31/12/2010Saudi Arabia, RiyadhKing Khalid University HospitalRSUnclearPregnant women with singleton pregnancies at gestational age of at least 24 months excluding women with preexisting diabetesAllIADPSG3,04156918.7
Wahabi HA et al. (103)1/7/2011–30/6/2012Saudi Arabia, RiyadhKing Khalid University hospitalRSAll subjects during the study periodWomen booked for ANC care services who were with singleton pregnancies and with no history of T1DM or T2DMAllCarpenter and Coustan2,70141515.4
Obese1,18526021.9
Not obese1,51615510.2
Al-Rowaily MA and Abolfotouh MA (104)7/2005–7/2006Saudi Arabia, RiyadhANC clinic of King Fahd hospital, part of the National Guard Health Affairs servicesCSConsecutiveAll pregnant women who had no previous history of diabetes without pregnancy excluding women who suffered an abortion before reaching 24–28 weeks gestation; 50.1% of pregnant women were grand multiparasAllWHO 19856337912.5
<20 years2100.0
20–29 years180105.6
30–39 years3795414.2
≥40 years531528.3
Almarzouki AA (105)1/11/2007–30/4/2008Saudi Arabia, MakkahDepartment of endocrinology, Al-Noor Specialist HospitalRSAll pregnant women during the study periodAll singleton pregnant women excluding pregnant women known to have DM before pregnancy or who have OGTT positive in first trimester of pregnancy with unknown prepregnancy DM status were also excludedAllO’Sullivan and NDDG1,550946.1
Al–Shaikh G et al. (106)2014–2014Saudi Arabia, RiyadhLabour ward of King Khaled University HospitalCSConsecutive17–47-year-old pregnant women who were admitted for deliveryAllUnclear1,00011111.1
Al-Daghri N et al. (107)UnclearSaudi Arabia, RiyadhPatients recruited from homes and invited to visit primary healthcare centers.CSRandom18–45-year-old pregnant women attending clinicsAllWHO 19992,373331.4
Wahabi H et al. (108)2013–2015Saudi Arabia, RiyadhLarge tertiary care public hospitalsCSWhole populationWomen delivered at participating hospitals with a mean age of 29.1 years<20–≥40 yearsWHO 20139,7232,35424.2
Alfadhli E et al. (109)2011–2014Saudi Arabia, MedinaMaternity and Children hospitalPCConsecutiveSingleton Saudi pregnant women without DM and with mean age 30.5 yearsAllADA 20105739316.2
Al Serehi A et al. (110)2011–2013Saudi Arabia, RiyadhSingle-center study conducted at King Fahad Medical CityCSWhole populationPregnant women with a mean age of 29.9 years; trimester not mentionedAllMedical records1,71823813.8
Al–Rubeaan K et al. (111)2007–2009Saudi Arabia, NationwideSAUDI–DM national level household survey.CSRandomPregnant women in different trimesters, recruited from general population with an age range of 18–49 yearsAll18–49 yearsIADPSG criteria
54920136.6
18–29 years2647929.9
30–39 years2128540.1
40–49 years733750.7
Gasim T et al. (112)2001–2008Saudi ArabiaKing Fahad HospitalCCMatched random samplingPregnant women in their second trimester with a mean age of 32.4 yearsAllIADPSG8,0752202.7
Kurdi MA et al. (113)01/2000–12/2001Saudi Arabia, RiyadhArmed Forces Hospital and King Khalid University HospitalCSConsecutivePregnant women with multiple pregnanciesAllUnclear3756016.0
Abdelmola AO et al. (114)11/2014Saudi Arabia, JazanSabya, Jazan, and Abuarish hospitalsCSRandomPregnant women aged 15–49 years in the second and third trimester tested for GDM at 24–28 weeks15–20 yearsMedical records48612.5
21–25 years14532.1
26–30 years136139.6
31–35 years761013.2
36–50 years35411.4
Al-Shaikh GK et al. (115)11/2013- 11/2014Saudi Arabia, RiyadhKing Khaled University HospitalCSWhole populationWomen who had singleton birthsAllMedical records3,32741512.5
Primipara1,8891749.3
Multipara1,09715614.4
Grand multipara3418525.2
Fayed AA et al. (116)11/2013–03/2015Saudi Arabia, RiyadhMulticenter Mother and Child Cohort Study RAHMA, three hospitals in RiyadhCSSystematicRAHMA study recruited more than 14,000 pregnant women and their newborns from three hospitals representing the ministry of health, military and university hospitals; all Saudi women were eligible to participate, and 14,568 consentedAll15–39 yearsWHO 2013
9,0222,12423.5
15–20 years1813217.7
20–29 years4,46986719.4
30–34 years2,60668826.4
35–39 years1,76653730.4
Subki AH et al. (117)01/2015–06/2017Saudi Arabia, JeddahKing Abdulaziz University Hospital, a teaching hospital and tertiary health center located in the city of Jeddah in the western province of Saudi ArabiaCSWhole populationAll patients diagnosed with HDPAllMedical records2445926.3
Primigravida971818.6
Multigravida1274132.3
Al Shanqeeti SA et al. (118)01/2016–08/2016Saudi Arabia, RiyadhKing Abdulaziz Medical CityCSWhole populationPregnant women attending the antenatal clinic at the tertiary hospital as well as those admitted for OB/GYN care and women attending the antenatal clinic at the primary care center were invited to participate in this studyAllUnclear384359.1
Dafa Elseed EB and Khougali HS (119)01/01/2016–06/01/2017Sudan OmdurmanOutpatient clinical at Omdurman Maternity Hospital, Omdurman, SudanCSUnclearWomen with diabetes aged 18–45 yearsAllSelf-reported1195546.2
Naser W et al. (120)01/2015–11/2015Sudan, KhartoumANC clinic of Saad Abualila HospitalPCWhole populationSingleton pregnant, started ANC follow-up in the first trimester (≤14 weeks of gestation)AllIADPSG and ADA1261915.0
Alshareef SA et al. (121)07/01/2017–01/31/2018Sudan, KhartoumSaad Abuelela hospitalCSUnclearPregnant womenAllIADPSG1662012.0
Mallouli M et al. (122)01/01–31/12, 2013Tunisia, SfaxUniversity Hospital, HediChakerCSWhole populationMothers of macrosomic newbornAllADA 2015821769.3
Radwan H et al. (123)6/2016UAE, Sharjah, Dubai and AjmanThree main public governmental hospitals and seven rimary health care (PHC) clinics and mother and child centers (MCH)PCConvenientSingleton Arab aged 19–40 years within the third trimester of pregnancy (27–42 weeks of gestation)AllNICE2564919.2
Agarwal MM et al. (124)1/1998–12/2002UAE, Al AinObstetric clinics at the Al Ain HospitalRSUnclearPregnant women attending routine obstetric clinics at the Al Ain Hospital with a mean maternal age of 32 yearsAllADA 19975,3471,64130.7
Agarwal MM et al. (125)1/1/2012–31/12/2012UAE, Al AinTawam HospitalCSUnclearPregnant women attending the routine ANC clinicsAllADA 20032,33731013.2
Agarwal MM et al. (126)2003–2008UAE, Al AinAntenatal clinics of two tertiary care hospitalsPCWhole populationPregnant women attending antenatal clinicsAllADA 201010,283132812.9
Agarwal MM et al. (127)1/07/2007–30/06/2008UAE, Al AinAl Ain HospitalCSUnclearPregnant women attending routine antenatal clinics tested for GDM at 24–28 weeks’ gestationAllADA 20071,46519613.4
Mirghani MH et al. (128)01/2002–05/2004UAE, Al AinAl-Ain Hospital, Al Ain DistrictCSConsecutiveHealthy pregnant women fasting in the month of RamadanAllWHO 19991683420.2
Healthy pregnant women not fasting in the month of Ramadan156117.1
Agarwal MM et al. (129)1/5/2003–31/7/2003UAE, Al AinTawam Hospital, Al AinCSConsecutiveAll pregnant women undergoing one-step universal screening protocol for GDM between 24–28 weeks gestationAllADA 20044424911.1
Vaswani PR et al. (130)12/2010–10/2011UAE, Abu DhabiMafraq hospitalCSConsecutivePregnant women except the ones with multiple pregnancies or BMI less than 18.5 kg/m2 or preexisting hypertension or diabetesAllMedical records1,9851718.6
Overweight635365.6
Obese class I5205310.1
Obese class II280421.0
Obese class III1302317.6
Normal weight420174.0
Abdel–Wareth OL et al. (131)11/1999–04/2001UAE, Abu DhabiMafraq HospitalCSConsecutiveWomen delivering at Mafraq Hospital during the time period were included; women who could not perform the test due to vomiting were excluded from the study<25–≥35 yearsADA criteria87714316.3
Ali AD. et al. (132)08/2013–03/2014Yemen, DhamarAntenatal care clinics associated with several hospitalsCSSystematicPregnant women visiting antenatal clinics with a mean age of 25.1 yearsObeseADA criteria18316.7
Others293134.4

ACOG, American College of Obstetricians and Gynecologists; ADA, American Diabetes Association; ANC, antenatal care; ART, assisted reproductive technology; BMI, body mass index; CC, case control; CS, cross-sectional; DM, diabetes mellitus; FIGO, Federation of Gynecology and Obstetrics; GDM, gestational diabetes mellitus; HCV, hepatitis C virus; HDP, hypertension disorder in pregnancy; IADPSG, International Association of Diabetes and Pregnancy Study Groups; ICSI, intracytoplasmic sperm injection; IVF, in vitro fertilization; NDDG, National Diabetes Data Group; OGTT, oral glucose tolerance test; PC, prospective cohort; PCOS, polycystic ovary syndrome; PS, prospective; PTB, preterm birth; RC, retrospective cohort; RS, retrospective; SC, spontaneous conception; T1DM, type 1 diabetes mellitus; T2DM, type 2 diabetes mellitus; WHO, World Health Organization.

Summary of the included studies reporting the prevalence of GDM in pregnant women in the MENA region, 2000–2019, stratified by country (102 reports with 198 prevalence measures). ACOG, American College of Obstetricians and Gynecologists; ADA, American Diabetes Association; ANC, antenatal care; ART, assisted reproductive technology; BMI, body mass index; CC, case control; CS, cross-sectional; DM, diabetes mellitus; FIGO, Federation of Gynecology and Obstetrics; GDM, gestational diabetes mellitus; HCV, hepatitis C virus; HDP, hypertension disorder in pregnancy; IADPSG, International Association of Diabetes and Pregnancy Study Groups; ICSI, intracytoplasmic sperm injection; IVF, in vitro fertilization; NDDG, National Diabetes Data Group; OGTT, oral glucose tolerance test; PC, prospective cohort; PCOS, polycystic ovary syndrome; PS, prospective; PTB, preterm birth; RC, retrospective cohort; RS, retrospective; SC, spontaneous conception; T1DM, type 1 diabetes mellitus; T2DM, type 2 diabetes mellitus; WHO, World Health Organization.

Crude GDM Prevalence

The 102 research reports (31–67, 69–132) yielded 198 GDM prevalence studies. Iran (32.3%) (41, 43–67, 69–77) and Saudi Arabia (24.2%) (97–118) contributed to most of the prevalence studies, followed by Qatar (9.7%). In these prevalence studies, a total of 279,202 pregnant women were tested for GDM between 2000 and 2019, and the crude GDM prevalence was estimated to be about 11.0%. The prevalence of GDM ranged from 0.0% in three studies (60, 98, 104) to 50.7% in pregnant women aged 40–49 years in Saudi Arabia tested between 2007 and 2009 (111). The GDM prevalence range was identical in studies reported in the two decades ( and ).
Table 3

Weighted national prevalence of GDM in pregnant women in 16 MENA countries by study period and overall.

Country/study periodNo. of studiesTested sampleGDMGDM prevalenceHeterogeneity measuresp–value4 (fixed model)
Range (%)Median (%)Weighted prevalence %95% CIQ (p–value)1 I2 (%)2 95% prediction interval (%)3
Algeria
 2010–2019120063.01.4–6.4
Bahrain <0.001 (<0.001)
 2000–2009210,4951,3947.5–15.511.513.012.4–13.7
 2010–2019949,5524,9826.9–13.39.59.78.1–11.6352.4 (p<0.001)97.74.2 – 17.2
 Overall1160,0476,3766.9–15.59.510.08.3–11.9572.3 (p<0.001)98.34.0–18.3
Egypt 0.21 (0.002)
 2010–201941,2391845.9–26.311.213.56.2–21.849.9 (p<0.001)94.00.0–63.8
 Overlapping2308247.6–7.97.87.85.0–11.1
 Overall61,5472085.9–26.39.011.26.2–17.459.7 (p<0.001)91.60.0–37.7
Iran 0.07 (<0.001)
 2000–2009167,3434922.2–24.47.48.25.9–11.0215.3 (p<0.001)93.00.8–21.9
 2010–20193921,0282,2350.0–50.09.212.39.0–16.02,135 (p<0.001)98.20.0–41.0
 Overlapping91,3881665.9–28.613.513.58.2–19.767.8 (p<0.001)88.20.3–38.4
 Overall6429,7592,8930.0–50.08.811.49.2–13.92,491 (p<0.001)97.50.1–35.8
Iraq
 2010–20194383352.6–24.514.211.53.3–23.324.5 (p<0.001)87.80.0–76.6
Jordan
 2010–2019643,8476041.2–31.74.74.73.0–6.7193.7 (p<0.001)97.40.4–12.5
Lebanon
 2010–20192211236.5–15.411.010.56.7–15.1
Libya
 Overlapping128,1404051.41.3–1.6
Morocco
 2010–201921,88039313.3–18.315.815.513.9–17.2
Oman <0.001 (<0.001)
 2000–200921,345442.9–4.43.73.22.3–4.2
 2010–2019102,7573443.1–17.911.2118.0–15.059.2 (p<0.001)84.81.9–25.8
 Overlapping2147249.9–26.818.315.510–21.9
 Overall144,2494122.9–26.810.310.16.5–14.3184.5 (p<0.001)93.00.2–29.7
Qatar 0.65 (0.59)
 2000–200921503512.0–34.723.322.315.9–29.4
 2010–20191721,5134,7722.4–47.022.520.514.8–26.91,869.0 (p<0.001)99.11.6–52.6
 Overall1921,6634,8072.4–47.022.520.715.2–26.71,880.3 (p<0.001)99.01.7–52.4
Saudi Arabia 0.02 (<0.001)
 2000–20091617,4991,2860.0–50.77.210.86.2–16.51,330.5 (p<0.001)98.90.0–41.1
 2010–20193244,9189,3312.1–34.617.618.215.9–20.61,116.5 (p<0.001)97.27.1–32.9
 Overall4862,41710,6170.0–50.716.115.512.6–18.84,989.3 (p<0.001)99.11.0–41.9
Sudan
 2010–201934119412.0–46.215.123.03.3–45.247.2 (p<0.001)95.8
Tunisia
 2010–20191821769.37.5–11.4
United Arab Emirates 0.3 (<0.001)
 2000–2009718,7383,4027.1–30.713.415.59.2–23.0736.7 (p<0.001)99.20.2–46.9
 2010–201974,5785304.0–19.113.311.37.6–15.6987.8 (p<0.001)93.21.3–28.8
 Overall1423,3163,9324.0–30.713.313.49.4–18.0945.1 (p<0.001)98.61.1–35.6
Yemen
 2010–2019231116
Overall5 198 279,202 30,797 0.0–50.7 12.3 13.0 11.5–14.6 28,154 (p<0.001) 99.3 0.1–40.6

CI, confidence interval calculated using the exact binomial method; GDM, gestational diabetes mellitus; MENA, Middle East and North Africa.

1Q: Cochran’s Q statistic is a measure assessing the existence of heterogeneity in estimates of GDM prevalence.

2I2 is a measure assessing the percentage of between-study variation due to differences in GDM prevalence estimates across studies rather than chance.

3Prediction intervals estimate the 95% confidence interval in which the true GDM prevalence estimate in a new study is expected to fall.

4Heterogeneity between subgroups using random-effects model (fixed-effect model).

5Overall pooled estimates in the 16 countries regardless of the tested population, sample size, and data collection period, using the most updated criteria when GDM is ascertained using different criteria in the same population.

Weighted national prevalence of GDM in pregnant women in 16 MENA countries by study period and overall. CI, confidence interval calculated using the exact binomial method; GDM, gestational diabetes mellitus; MENA, Middle East and North Africa. 1Q: Cochran’s Q statistic is a measure assessing the existence of heterogeneity in estimates of GDM prevalence. 2I2 is a measure assessing the percentage of between-study variation due to differences in GDM prevalence estimates across studies rather than chance. 3Prediction intervals estimate the 95% confidence interval in which the true GDM prevalence estimate in a new study is expected to fall. 4Heterogeneity between subgroups using random-effects model (fixed-effect model). 5Overall pooled estimates in the 16 countries regardless of the tested population, sample size, and data collection period, using the most updated criteria when GDM is ascertained using different criteria in the same population.

Regional and National Pooled GDM Prevalence

The overall pooled weighted GDM prevalence in the MENA region was 13.0% (95% CI, 11.5–14.6%, I, 99.3%; ; ). The highest GDM prevalence was observed in Qatar (20.7%, 95% CI, 15.2–26.7%; 19 studies), followed by 15.5% in Saudi Arabia (95% CI, 12.6–18.8%; 48 studies) and 13.4% in the UAE (95% CI, 9.4–18.0%; 14 studies; ). The lowest pooled GDM prevalence was 4.7% in Jordan (95% CI, 3.0–6.7%; six studies) reported between 2010 and 2019. In the studies conducted between 2000 and 2009, the prevalence estimates ranged from 3.2% in Oman (95% CI, 2.3–4.2%) to 22.3% in Qatar (95% CI, 15.9–29.4%), and in the studies conducted between 2010 and 2019, it ranged from 3.0% in Algeria (95% CI, 1.4–6.4%) to 23.0% in Sudan (95% CI, 3.3–45.2%; ).
Figure 2

Forest plot of the meta-analyses of the studies on GDM from 16 MENA countries.

Forest plot of the meta-analyses of the studies on GDM from 16 MENA countries. For the six countries reporting data on both decades, the overall GDM prevalence was estimated separately for each decade. There was a rise in the prevalence of GDM by 4% to 8% in Iran, Oman, and Saudi Arabia and a decrease of 2% to 4% in Bahrain, Qatar, and the UAE from 2000–2009 to 2010–2019 periods. The largest increase in prevalence occurred in Oman: from 3.2% in 2000 (95% CI, 2.3–4.2%) to 11.0% in 2019 (95% CI, 8.0–15.0%, I, 84.2%). An appreciable reduction in the prevalence of GDM was observed in the UAE: from 15.5% in 2000 (95% CI, 9.2–23.0%, I, 99.2%) to 11.3% in 2019 (95% CI, 7.6–15.69, I, 93.2%; and ).

Subgroup Pooled GDM Prevalence

The prevalence of GDM in pregnant women aged ≥30 years was 2.26 times higher (21.9%, 95% CI, 18.5–25.5%, I, 97.1%) than that estimated in younger (15–29 years) pregnant women (9.7%, 95% CI, 6.7–13.2%, I, 98.0%). A trend was observed between GDM and pregnancy trimester. The weighted GDM prevalence increased by 45.0%, from 8.9% in the first trimester to 12.9% in the second trimester, and by 55.0% in the third trimester (20.0%, 95% CI, 13.1–27.9%, I, 98.8%) compared with the second trimester. It was also noticeable that, as the BMI increased, the prevalence of GDM increased by 54% in overweight (12.0%, 95% CI, 5.7–20.1%, I, 96.7) and by 120% in obese (17.2%, 95% CI, 12.8–22.0%, I, 93.8%) compared with normal-weight pregnant women (7.8%, 95% CI, 4.1–12.4%, I, 95.0%). No GDM cases were reported in two studies that included underweight women ().
Table 4

Subgroup weighted prevalence of GDM in pregnant women in 16 MENA countries by age, pregnancy trimester, body mass index, study period, ascertainment methodology, tested sample, C-section, and maternal mortality ratio.

No. of studiesTested sampleGDMGDM prevalenceHeterogeneity measuresp–value4(fixed model)
Range (%)Median (%)Weighted prevalence %95% CIQ (p–value)1 I2(%)295% prediction interval (%)3
Age <0.001 (<0.001)
 15–29 years2419,1872,8830.0–29.910.89.76.7–13.21,140.7 (p<0.001)98.00.0–31.4
 ≥30 years2622,1865,6174.1–50.725.421.918.5–25.5868.6 (p<0.001)97.17.0–42.0
 Unclear age148237,51822,2810.0–50.011.212.310.6–14.020,967.2 (p<0.001)99.30.1–37.6
Trimester 0.06 (<0.001)
 First115,8073872.2–37.27.68.95.3–13.3272.5 (p<0.001)96.30.0–29.7
 Second85134,79214,3780.0–50.012.012.910.9–15.09,687.2 (p<0.001)99.10.6–36.3
 Third1814,1461,3542.7–50.718.520.013.1–27.91,428.2 (p<0.001)98.80.0–60.6
 Not reported84124,45714,6780.0–47.012.512.59.8–15.516,618.8 (p<0.001)99.50.0–46.1
BMI <0.001 (<0.001)
 Underweight2940000
 Normal weight113,8223351.0–29.26.07.84.1–12.4200.8 (p<0.001)95.00.0–29.5
 Overweight72,5023344.3–35.19.212.05.7–20.1182.2 (p<0.001)96.70.0–47.5
 Obese174,84599417.6–47.015.817.212.8–22.0241.5 (p<0.001)93.82.6–40.2
 Unclear161267,692529,1870.0–50.712.813.411.7–15.227,066.0 (p<0.001)99.40.1–41.2
Study period 0.14 (<0.001)
 2000–20094555,5706,6530.0–50.711.110.68.1–13.44,118.0 (p<0.001)98.90.0–34.2
 2010–2019139193,364923,5270.0–50.012.714.012.1–16.019,613.9 (p<0.001)99.30.2–42.2
 Overlapping1429,9836191.4–28.69.112.06.5–18.7414.1 (p<0.001)96.90.0–45.3
GDM ascertainment 5 <0.001 (<0.001)
 WHO guidelines
  WHO 19854633790.0–28.39.910.43.2–20.525.4 (p<0.001)88.20.0–67.5
  WHO 199963,3351781.4–20.214.811.43.6–22.8228.9 (p<0.001)97.80.0–62.4
  WHO 20131430,3487,12513.3–34.622.622.820.2–25.5344.5 (p<0.001)96.213.0–34.5
  WHO year not mentioned12,22180136.134.1–38.1
 ADA guidelines
  ADA 199715,3471,64130.729.5–31.9
  ADA 2002–20101619,6042,2692.4–37.212.011.79.0–14.7364.6 (p<0.001)96.42.6–25.9
  ADA 2011–201343,18060513.4–30.524.922.715.4–30.967.5 (p<0.001)95.60.2–65.0
  ADA 2015–201643,2292436.9–9.37.07.56.4–8.74.435 (p=0.218)32.44.2–11.7
  ADA year not mentioned187714316.314.0–18.9
  ADA/IADPSG270030615.1–50.032.543.139.4–46.8
 Self-reported61,8331192.9–46.25.59.62.7–19.8148.2 (p<0.001)96.60.0–56.2
 Medical records4570,8332,8030.6–47.011.411.59.1–14.23,588.1 (p<0.001)98.80.4–33.1
 Unclear3631,5411,3190.0–31.48.49.36.2–12.91,770.5 (p<0.001)98.00.0–36.9
 IADPSG2332,9115,5772.7–50.718.020.915.6–26.63,071.8 (p<0.001)99.31.5–53.5
 Carpenter and Coustan138,4687552.2–24.48.28.85.6–12.7356.1 (p<0.001)96.60.1–27.4
 NDDG1051,1025,0766.1–13.38.79.47.8–11.1382.7 (p<0.001)97.64.0–16.7
 Fourth International Workshop–Conference210,4951,3947.5–15.511.513.012.4–13.7
 Fifth International Workshop–Conference51,0102157.3–44.47.917.45.6–33.9149.9 (p<0.001)97.30.0–85.6
 ACOG41,2791000.0–16.77.67.73.7–12.918.11 (p<0.001)83.40.0–36.8
 NICE12564919.114.8–24.4
Sample size 0.25 (<0.001)
 <100321,7793000.0–50.712.814.810.7–19.5198.8 (p<0.001)84.40.0–44.3
 ≥100166277,42330,4970.6–50.012.012.811.2–14.527,873.7 (p<0.001)99.40.1–40.1
C-section rate <0.001 (<0.001)
 <15%710,2064812.7–46.212.011.55.6–19.0285.6 (p<0.001)97.90.0–44.2
 15–29%118235,10627,2220.0–50.713.514.412.3–16.624,307.1 (p<0.001)99.50.2–43.3
 >30%6929,1013,0100.0–50.09.211.69.4–14.12,461.8 (p<0.001)97.20.1–36.1
 Unclear44,7891471.4–15.03.94.81.8–9.089.2 (p<0.001)96.60.0–34.3
Maternal mortality ratio <0.001 (<0.001)
 ≤100/100,000188273,49130,5340.0–50.712.513.211.6–14.927,551.7 (p<0.001)99.30.1–40.8
 >100/100,000692211163.0–46.213.616.53.4–36.397.1 (p<0.001)96.90.0–100.0
 Unclear44,7891471.4–15.03.94.81.8–9.089.2 (p<0.001)96.60.0–34.3
 Overall6 198 279,202 30,797 0.0–50.7 12.3 13.0 11.5–14.6 28154 (p<0.001) 99.3 0.1–40.6

CI, confidence interval calculated using the exact binomial method; ACOG, American College of Obstetricians and Gynecologists; ADA, American Diabetes Association; GDM, gestational diabetes mellitus; IADPSG, International Association of Diabetes and Pregnancy Study Groups; NDDG, National Diabetes Data Group; NICE, National Institute for Health and Care Excellence; WHO: World Health Organization.

1Q: Cochran’s Q statistic is a measure assessing the existence of heterogeneity in estimates of GDM prevalence.

2I2 is a measure assessing the percentage of between-study variation due to differences in GDM prevalence estimates across studies rather than chance.

3Prediction intervals estimate the 95% confidence interval in which the true GDM prevalence estimate in a new study is expected to fall.

4Heterogeneity between subgroups using random-effects model (fixed-effect model).

5Regardless of the year of the guidelines for the most updated criteria when GDM was ascertained, based on different criteria in the same population.

6Overall pooled estimates in the 16 countries regardless of the tested population, sample size, and data collection period, using the most updated criteria when GDM was ascertained using different criteria in the same population.

Subgroup weighted prevalence of GDM in pregnant women in 16 MENA countries by age, pregnancy trimester, body mass index, study period, ascertainment methodology, tested sample, C-section, and maternal mortality ratio. CI, confidence interval calculated using the exact binomial method; ACOG, American College of Obstetricians and Gynecologists; ADA, American Diabetes Association; GDM, gestational diabetes mellitus; IADPSG, International Association of Diabetes and Pregnancy Study Groups; NDDG, National Diabetes Data Group; NICE, National Institute for Health and Care Excellence; WHO: World Health Organization. 1Q: Cochran’s Q statistic is a measure assessing the existence of heterogeneity in estimates of GDM prevalence. 2I2 is a measure assessing the percentage of between-study variation due to differences in GDM prevalence estimates across studies rather than chance. 3Prediction intervals estimate the 95% confidence interval in which the true GDM prevalence estimate in a new study is expected to fall. 4Heterogeneity between subgroups using random-effects model (fixed-effect model). 5Regardless of the year of the guidelines for the most updated criteria when GDM was ascertained, based on different criteria in the same population. 6Overall pooled estimates in the 16 countries regardless of the tested population, sample size, and data collection period, using the most updated criteria when GDM was ascertained using different criteria in the same population. From the 137 studies conducted between 2010 and 2019, the pooled GDM prevalence (14.0%, 95% CI, 12.1–16.0%) was 32.0% higher than that reported in the 45 studies conducted in the previous decade (2000–2009; 10.6%, 95% CI, 8.1–13.4%). The pooled GDM prevalence was relatively higher in 32 studies with a sample size of <100 pregnant women (14.8%, 95% CI, 10.7–19.5%) compared with that in 164 studies with a sample size of ≥100 pregnant women (12.8%, 95% CI, 11.2–14.8%; ). The prevalence of GDM was 25.2% higher in countries with a C-section rate of 15–29% (weighted estimate of 14.4%, 95% CI, 12.3–16.6%, I, 99.5%) than countries with a C-section rate of <15% (weighted estimate of 11.5%, 95% CI, 5.36–19.0%, I, 97.9%; ). In addition, in four studies in countries with high MMR (i.e., >100 per 100,000 live births), the prevalence of GDM was 25.0% higher than in countries with MMR ≤100 per 100,000 live births (weighted estimates of 16.5%, 95% CI, 3.4–36.3%, and 14.4%, 95% CI, 12.3–16.6%, respectively; ).

Subregional Specific Pooled GDM Prevalence

In Sudan, one of the North African countries with a C-section rate of 15–29%, a lower GDM prevalence (weighted prevalence of 7.9%) was observed compared with countries with a C-section rate of <15% (weighted prevalence of 23.0%). In North African countries with an MMR of >100/100,000 live births, the prevalence of GDM was 32.0% higher than in countries with an MMR of ≤100/100,000 live births (). The highest weighted GDM prevalence was in the GCC countries (14.7%, 95% CI, 13.0–16.5%, I, 99.0%), followed by North African countries (13.5%, 95% CI, 7.4–20.9%, I, 98.9%) and Iran/Iraq 11.2% (95% CI, 9.0–13.5%, I, 97.4%), whereas the lowest prevalence was estimated in the Levant region countries (5.8%, 95% CI, 3.9–7.9%, I, 97.1%; ). In GCC countries, the prevalence of GDM rose from 11.9% to 15.9% over the two successive decades. Overweight (12.5%) and obese (18.5%) pregnant women and pregnant women with a C-section rate of 15–29% (15.5%) were burdened with high GDM prevalence (). In these countries, pregnant women aged ≥30 years were burdened with higher GDM prevalence than the other subregions. As compared with the first decade, the weighted GDM prevalence in the subsequent decade increased by almost 4% in Iraq. in the appendix provide additional weighted GDM prevalence estimates in each subregion according to different measured characteristics ( ).

Predictors of Heterogeneity in GDM

In the univariate meta-regression models, country, age, pregnancy trimester, BMI, and sample size were associated with variability in the prevalence of GDM at p<0.1. In the multivariate meta-regression model, only pregnancy trimester was retained, with no significant association with the prevalence of GDM at p<0.05. Compared with Saudi Arabia, the adjusted GDM prevalence was 135% (adjusted odds ratio [aOR], 2.35, 95% CI, 1.39–3.95) and 122% (aOR, 2.22, 95% CI, 1.30–3.76) higher in Qatar and Morocco, respectively, but lower in Libya (aOR, 0.09, 95% CI, 0.02–0.52) and Jordan (aOR, 0.38, 95% CI, 0.18–0.80). Pregnant women aged ≥30 years had a 152% higher prevalence of GDM (aOR, 2.52, 95% CI, 1.51–4.21) relative to younger pregnant women. Obese pregnant women were burdened with a 192% higher prevalence of GDM relative to normal-weight pregnant women (aOR, 2.92, 95% CI, 1.50–5.69; ).

Publication Bias in GDM Prevalence

Both the visual (funnel plot asymmetry) and statistical assessment (Egger’s test, p<0.001) of publication bias suggested the role of a small-study effect ().

Quality Assessment of the GDM Research Reports

presents the findings of the research report-specific quality assessment for relevant GDM prevalence studies. In all 102 research reports, the research question(s) and/or objective(s) were clearly stated, and the study population group was clearly specified and defined. Half of the research reports (49.5%) did not provide information on the sample size calculation or justification. Most (79.2%) of the research reports used biological assays or extracted data from medical records to ascertain GDM, whereas the GDM status was self-reported in only five reports. In more than half (58.4%) of the 102 research reports, the tested sample size was at least 100 pregnant women. Overall, the research reports were judged to be of potentially low RoB, with an average of seven of the nine measured assessment items. Four (4.0%) of the reports (70, 85, 105, 120) were of low RoB in all of the assessed RoB items ().

Discussion

Main Findings

A total of 102 eligible research reports comprising 198 GDM prevalence studies were reported in 16 countries in the MENA region between 2000 and 2019. Most of these reports (58.41%) were from Iran and Saudi Arabia. The pooled prevalence of GDM in the 16 MENA countries was appreciably high (13.0%, 95% CI, 11.5–14.6%, I, 99.3%), particularly in the GCC and North African countries. The prevalence of GDM increased with maternal age, gestational age, and BMI. It was also high in countries with a C-section rate of 15–29% and an MMR of >100/100,000 live births. The pooled GDM prevalence (13.0%) was alarmingly higher than that of European countries (2–6%) (133) but was similar to the sub-Saharan Africa region (14.0%). In contrast to the pooled prevalence estimates of Asia (11.5%) (134), the prevalence estimated in the present meta-analysis was slightly higher. The Asian meta-analysis included prevalence estimates from Saudi Arabia, Iran, and Qatar, and when compared with our estimates, they were 3.5% and 7.4% lower for Iran and Saudi Arabia, respectively, and 7.4% higher for Qatar (134). Such variations might be due to the differences in the literature search dates and languages, eligible sample size, GDM ascertainment criteria, and differences in the type of observational studies used for the prevalence estimation. Our overall weighted GDM prevalence estimate depicted substantial heterogeneity (I, 99.3%). This could be attributable to the less restrictive inclusion criteria in this review. In addition, the prevalence estimates of GDM can significantly differ with the variation in the GDM diagnostic criteria (135, 136). We noted clinical inconsistency in GDM diagnostic criteria used in the prevalence studies we reviewed (). This corresponds to the common use of existing nonuniform GDM diagnostic criteria in different countries (12, 134). Given the importance of the prevalence of GDM in meaningful intervention development, its estimation can be affected by the inclusion of studies that use different GDM diagnosing criteria (137, 138). The prevalence of GDM estimated based on the IADPSG criteria is usually high due to the low threshold for fasting blood glucose level relevant to other criteria. In our study, more than 25% of the studies used IADPSG criteria. To obtain homogenous and comparable prevalence estimates and to avoid confusion in practices of screening, diagnosis, and follow-up of GDM, health authorities should consider implementing uniform GDM diagnostic criteria nationally and across the MENA region. The GDM prevalence estimates in our analysis suggested an increasing trend, parallel to the increase in BMI, correlating with the known fact that overweight and obesity are risk factors of GDM (139, 140). Although this does not prove a causal link between these parameters, it inevitably might significantly reflect the impact of the high burden of overweight and obesity in several countries in the MENA region, such as Egypt and the six GCC countries (141). This highlights the importance of investigating dietitians’ role in ensuring the appropriate caloric intake of GDM patients based on their BMI as per the recommendations of the ADA (142) and promoting exercise, especially among those with increased BMI (143). GDM can have devastating maternal and birth consequences. Mothers with GDM are at higher risk of developing T2DM, dying, and undergoing C-section (23, 24, 144). Children born to mothers with untreated GDM face an increased risk of neonatal death and long-term disability (145, 146). Notably, diabetes in pregnancy is a neglected cause of maternal mortality globally, affecting one of every sixth pregnancy in the world, and some of the known GDM morbidities that may cause maternal death are postpartum hemorrhage, obstructed labor, and preeclampsia (147). In our analysis, although the prevalence of GDM was higher (16.35%) in countries with high MMR (>100/100,000 live births), it was also substantial in countries with lower MMR (≤100/100,000 live births). Although this does not prove temporality, it highlights the importance of researching complications of GDM (if any) leading to maternal deaths, to help healthcare providers in the MENA region establish protocols to prevent these anticipated adversities. GCC countries with the highest GDM prevalence, as presented in this study, are also burdened with high T2DM (148). There is no doubt that controlling GDM would have multiple benefits in avoiding unfavorable health consequences for both mothers and their babies.

Strengths, Implications, and Limitations

The strengths of our review included its comprehensive characterization of the burden of GDM among pregnant women in several MENA countries. The review provides several weighted estimates in different population groups of the pregnant women at national, subregional, and regional levels that could be used, in addition to future work, to guide the planning, implementation, and evaluation of programs to prevent and control GDM. The overall and national-based pooled prevalence estimates might help policy makers of the respective MENA countries to contrast and quantify the local burden of GDM and introduce better policy initiatives regarding the flow of resources and funds for GDM care and management. Moreover, the finding of higher GDM prevalence corresponding to higher BMI categories might help in developing BMI-specific dietary and exercise guidelines. Furthermore, health authorities and organizations in the region are encouraged to review and consider standardizing the GDM diagnostic criteria at least at the national levels to improve the measurability and comparability of GDM rates and burden across the country and over time. Since we found a wide range of GDM diagnostic criteria used in the MENA region, health organizations across this region might consider moving toward the use of uniform GDM diagnostic criteria to produce better comparable statistical estimates in the future. For instance, in the UAE, different hospitals within the country use different GDM screening and ascertainment criteria (12). Having different GDM diagnostic criteria will preclude understanding the exact burden of the GDM. Limitations included that our review did not provide any prevalence estimate for about 29% of the MENA region countries, as no prevalence data were available. This might have compromised the comprehensiveness of our prevalence estimates at the regional level. Since we believe that this study is the first to determine the prevalence of GDM in the MENA region, a comparison with previous similar estimates was not possible. This study offers scarce help regarding the prevalence of GDM with its associated comorbidities, such as gestational hypertension, preterm birth, and traumatic vaginal delivery (149), and separate review articles are warranted. The prevalence of GDM can also vary depending on several sociodemographic and maternal characteristics as well as within [urban or rural setting (150, 151)] and between countries and regions; however, our study does not provide such distinction on the prevalence data. In some of the reviewed studies, detailed information on the methodology and GDM measurement procedures was missing, and this limits the category-based generalizability of the measured pooled GDM prevalence. For instance, the 3.35-times increase in the prevalence of GDM in studies reported before 2009 compared with studies reported after 2009 should be cautiously interpreted, as there was an overlap in the time period in 14 studies that tested 29,983 women. The various thresholds for fasting blood glucose level to diagnose GDM, applied on the several criteria considered from the studies, might suggest a bias in the estimated GDM prevalence. Unless estimated by rigorous comparable survey and testing methodology in individual population-based studies, the burden of GDM at the country, subregional, or regional level should not be interpreted as the burden of the measured outcomes at the population level. Moroever, this review did not explore the associations between various maternal and neaonatal characterstics and GDM. Therefore, future systematic reviews and meta-analyses studies focusing on the burden of GDM according to different maternal and neonatal characteristics as well as on the strength of association between various maternal characteristics and GDM are warranted.

Conclusions

Pregnant women in the MENA region are burdened with a relatively high GDM prevalence. Particularly, in the GCC and North African countries, the observed high burden of GDM may be mainly driven by the high prevalence of several risk factors for DM including overweight and obesity, parity, and late maternal age. To avoid maternal and newborn consequences, vigilant risk factor prevention programs and screening and management programs are necessary in the context of GDM. Moreover, unifying the GDM screening and diagnostic criteria, at least at the country level, is warranted to understand the precise burden of GDM. In countries that lack GDM burden data, high-quality research and surveillance programs are also warranted.

Data Availability Statement

The data sets used and/or analyzed in the current study and the supplementary information files are available from the corresponding author on reasonable request.

Author Contributions

Conceptualization, RHA. Methodology, RHA, NMA and MSP. Software, RHA. Validation, RHA. Formal analysis, RHA, NMA, and LAA. Resources, RHA. Writing—original draft preparation, SS and MSP. Writing—review and editing, NMA, MSP, SS, and LAA. Supervision, RHA. Project administration, RHA. Funding acquisition, RHA. All authors contributed to the article and approved the submitted version.

Funding

This systematic review was funded by the Summer Undergraduate Research Experience (SURE) PLUS-Grant of the United Arab Emirates University, 2017 (research grant 31M348). The funding source had no role in the study design, collection, analysis, or interpretation of the data, nor in writing or the decision to submit this article for publication. The corresponding author had full access to all the data in the study and had final responsibility for the decision to submit for publication.

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s Note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
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